ComputeError

Pearson rho, MAE, CAE and RMSE between observations and predictions.

regression

An implementation of 'EDM' algorithms based on research software developed at the Sugihara Lab ('UCSD/SIO'). Primary methods include 'Simplex' projection from Sugihara & May (1990) <doi:10.1038/344734a0>, Sequential locally-weighted global linear maps 'S-map': Sugihara (1994) <doi:10.1098/rsta.1994.0106>, Convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'Multiview embedding' from Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.

Joseph Park

rEDM

Empirical Dynamic Modeling ('EDM')

George Sugihara

Ethan Deyle

The Regents of the University of California 

ComputeError function

<dl><dt>obs</dt>
<dd>Numeric vector of observations.</dd><dt>pred</dt>
<dd>Numeric vector of predictions aligned with <code>obs</code>.</dd><dt>digits</dt>
<dd>Rounding applied to each statistic.</dd></dl>

Arguments

Prediction skill statistics — ComputeError

<dl>

<dt>obs</dt>
<dd>Numeric vector of observations.</dd>

<dt>pred</dt>
<dd>Numeric vector of predictions aligned with <code>obs</code>.</dd>

<dt>digits</dt>
<dd>Rounding applied to each statistic.</dd>

</dl>

ComputeError: Prediction skill statistics

Description

Usage

Value

Arguments

Examples